Runtime authorization & audit layer for physical AI — T0–T3 tiers, capability tokens, Ed25519, ROS2/MCP/MAVLink bridges, OWASP ASI coverage
Local Codex control plane for unattended repo upkeep, bug repair, self-auditing, and evidence-backed automation.
Trust infrastructure for Git workflows with human and AI-generated code
Evidence-bound workflow diagnostics and certified lower-bound reporting for long-running AI agent pipelines. Improve agent workflow throughput without changing the model.
Check whether AI-assisted R&D work is truly verified progress. Local-first LOSCR implementation with JSONL evidence ledgers, deterministic replay, service control, and claim checking.
Reference Python kernel for CIMT: no-meta, observable-only certification machinery for affordance-compiled LLM-integrated systems.
Verification framework for AI agents: runtime checks, claim validation, hypothesis tracking.
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